Publications

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Conferences

Oral

Overlap Loss: Rethinking Weakly Supervised Instance Segmentation in Crowded Scenes
IEEE International Conference on Image Processing (ICIP), 2023
S. Jiang, S. Zhao, M. Wu, L. Zhang and F. Zhou

[Paper]
Improving Crowded Object Detection via Copy-Paste
AAAI Conference on Artificial Intelligence (AAAI), 2023
J. Deng, D. Fan, X. Qiu and F. Zhou

[Paper] [Chinese Wiki]
Spotlight

Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters
International Conference on Learning Representations (ICLR), 2022
Q. Meng, F. Zhou, H. Ren, T. Feng, G. Liu and Y. Lin

[Paper] [Project]
Learning Compatible Embeddings
IEEE International Conference on Computer Vision (ICCV), 2021
Q. Meng, C. Zhang, X. Xu and F. Zhou

[Paper] [Code] [Video]
Body-Face Joint Detection via Embedding and Head Hook
IEEE International Conference on Computer Vision (ICCV), 2021
J. Wan, J. Deng, X. Qiu and F. Zhou

[Paper] [Code] [Video]
Oral

MagFace: A Universal Representation for Face Recognition and Quality Assessment
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Q. Meng, S. Zhao, Z. Huang and F. Zhou

[Paper] [Code] [Video]
Searching for Alignment in Face Recognition
AAAI Conference on Artificial Intelligence (AAAI), 2021
X. Xu, Q. Meng, Y. Qin, J. Guo, C. Zhao, F. Zhou and Z. Lei

[Paper]
Matching Guided Distillation
European Conference on Computer Vision (ECCV), 2020
K. Yue, J. Deng and F. Zhou

[Webpage] [Paper] [Code]
Searching Central Difference Convolutional Networks for Face Anti-Spoofing
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Z. Yu, C. Zhao, Z. Wang, Y. Qin, S. Zhuo, X. Li, F. Zhou and G. Zhao

[Paper] [Code]
Oral

Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Z. Wang, Z. Yu, C. Zhao, X. Zhu, Y. Qin, Q. Zhou, F. Zhou and Z. Lei

[Paper] [Code]
Learning Meta Model for Zero- and Few-shot Face Anti-spoofing
AAAI Conference on Artificial Intelligence (AAAI), 2020
Y. Qin, C. Zhao, X. Zhu, Z. Wang, Z. Yu, T. Fu, F. Zhou, J. Shi and Z. Lei

[Paper]
Recognizing Part Attributes with Insufficient Data
IEEE International Conference on Computer Vision (ICCV), 2019
X. Zhao, Y. Yang, F. Zhou, X. Tan, Y. Yuan, Y. Bao and Y. Wu

[Paper] [Code]
Compact Generalized Non-local Network
Advances in Neural Information Processing Systems (NeurIPS), 2018
K. Yue, M. Sun, Y. Yuan, F. Zhou, E. Ding and F. Xu

[Paper] [Code]
Oral

Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition
European Conference on Computer Vision (ECCV), 2018
M. Sun, Y. Yuan, F. Zhou and E. Ding

[Paper] [Dataset]
Fine-grained Video Categorization with Redundancy Reduction Attention
European Conference on Computer Vision (ECCV), 2018
C. Zhu, X. Tan, F. Zhou, X. Liu, K. Yue, E. Ding and Y. Ma

[Paper] [Dataset]
Deep Metric Learning with Angular Loss
IEEE International Conference on Computer Vision (ICCV), 2017
J. Wang, F. Zhou, S. Wen, X. Liu, and Y. Lin

[Paper]
Kernel Pooling for Convolutional Neural Networks
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
Y. Cui, F. Zhou, J. Wang, X. Liu, Y. Lin and S. Belongie

[Paper 1MB]
Deep Deformation Network for Object Landmark Localization
European Conference on Computer Vision (ECCV), 2016
X. Yu, F. Zhou and M. Chandraker

[Paper 7MB]
Fine-grained Image Classification by Exploring Bipartite-Graph Labels
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
F. Zhou and Y. Lin

[Webpage] [Paper 5MB] [Demo]
Embedding Label Structures for Fine-Grained Feature Representation
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
X. Zhang, F. Zhou, Y. Lin and S. Zhang

[Paper 4MB]
Fine-grained Categorization and Dataset Bootstrapping using Deep Metric Learning with Humans in the Loop

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
Y. Cui, F. Zhou, Y. Lin and S. Belongie

[Paper 3MB]
Spatio-temporal Matching for Human Detection in Video
European Conference on Computer Vision (ECCV), 2014
F. Zhou and F. De la Torre

[Webpage] [Paper 20MB] [Slides 96MB] [Spotlight 40MB] [Results 51MB]
Time-Mapping Using Space-Time Saliency
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014
F. Zhou, S.-B. Kang and M. Cohen

[Webpage] [Paper 7MB] [Appendix 2MB] [Slides 119MB] [Spotlight 28MB] [Results 24MB] [Code]
Exemplar-based Graph Matching for Robust Facial Landmark Localization
IEEE International Conference on Computer Vision (ICCV), 2013
F. Zhou, J. Brandt and Z. Lin

[Webpage] [Paper 11MB] [Appendix 2MB] [Slides 17MB] [Dataset]
Deformable Graph Matching
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013
F. Zhou and F. De la Torre

[Webpage] [Paper 6MB] [Slides 22MB] [Code]
Unsupervised Temporal Commonality Discovery
European Conference on Computer Vision (ECCV), 2012
W.-S. Chu, F. Zhou and F. De la Torre

[Webpage] [Paper 3MB] [Code]
Factorized Graph Matching
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012
F. Zhou and F. De la Torre

[Webpage] [Paper 6MB] [Appendix 1MB] [Slides 12MB] [Code]
Generalized Time Warping for Multi-modal Alignment of Human Motion
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012
F. Zhou and F. De la Torre

[Webpage] [Paper 8MB] [Slides 14MB] [Code]
Unsupervised Summarization of Rushes Videos
ACM International Conference on Multimedia (ACM MM), 2010
Y. Liu, F. Zhou, W. Liu, F. De la Torre and Y. Liu

[Paper 8MB]
Oral

Unsupervised Discovery of Facial Events
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010
F. Zhou, F. De la Torre and J. F. Cohn

[Webpage] [Paper 8MB] [Longer Version 12MB] [Slides 31MB]
Detecting Depression from Facial Actions and Vocal Prosody
International Conference on Affective Computing and Intelligent Interaction (ACII), 2009
J. F. Cohn, T. Simon, I. Matthews, Y. Yang, M. H. Nguyen, M. Tejera, F. Zhou and F. De la Torre

[Paper 1MB]
Canonical Time Warping for Alignment of Human Behavior
Advances in Neural Information Processing Systems (NIPS), 2009
F. Zhou and F. De la Torre

[Webpage] [Paper 5MB] [Code]
Aligned Cluster Analysis for Temporal Segmentation of Human Motion
International Conference on Automatic Face and Gesture Recognition (FG), 2008
F. Zhou, F. De la Torre and J. K. Hodgins

[Webpage] [Paper 1MB] [Code]
Learning Concepts from Large-Scale Data Sets by Pairwise Coupling with Probabilistic Outputs
International Joint Conference on Neural Networks (IJCNN), 2007
F. Zhou and B. Lu

[Webpage] [Paper 1MB] [Slides 1MB]

Journals

Where You Edit is What You Get: Text-guided Image Editing with Region-based Attention
Pattern Recognition (PR), 2023
C. Xiao, Q. Yang, X. Xu, J. Zhang, F. Zhou and C. Zhang

[Paper 5.6 MB]
Spatio-temporal Matching for Human Pose Estimation in Video
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 38(8):1492-1504, 2016
F. Zhou and F. De la Torre

[Webpage] [Paper 25MB]
Factorized Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 38(9):1774-1789, 2016
F. Zhou and F. De la Torre

[Webpage] [Paper 7MB] [Slides 22MB] [Code]
Generalized Canonical Time Warping
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 38(2):279-294, 2016
F. Zhou and F. De la Torre

[Webpage] [Paper 18MB] [Code]
Hierarchical Aligned Cluster Analysis for Temporal Clustering of Human Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 35(3):582-596, 2013
F. Zhou, F. De la Torre and J. K. Hodgins

[Webpage] [Paper 3MB] [Code]

Technical Report

PoseFace: Pose-Invariant Features and Pose-Adaptive Loss for Face Recognition
arXiv:2107.11721, 2021
Q. Meng, X. Xu, X. Wang, Y. Qian, Y. Qin, Z. Wang, C. Zhao, F. Zhou and Z. Lei

[Paper]
Visible Feature Guidance for Crowd Pedestrian Detection
European Conference on Computer Vision Workshop (ECCVW), 2020
Z. Huang, K. Yue, J. Deng and F. Zhou

[Paper] [Talk]
A Refined 3D Pose Dataset for Fine-Grained Object Categories
International Conference on Computer Vision Workshop (ICCVW), 2019
Y. Wang, X. Tan, Y. Yang, X. Liu, E. Ding, F. Zhou and L. Davis

[Paper] [Code & Dataset]
Dynamic Computational Time for Visual Attention
IEEE International Conference on Computer Vision Workshop (ICCVW), 2017
Z. Li, Y. Yang, X. Liu, F. Zhou, S. Wen and W. Xu

[Paper] [Code]
Fully Convolutional Attention Networks for Fine-Grained Recognition
arXiv:1603.06765, 2016
X. Liu, T. Xia, J. Wang, Y. Yang, F. Zhou and Y. Lin

[Paper]